Application of Ultrasonic for Pipeline Flaw Detection

摘要：

The principle of Ultrasonic detection and the detection method of the flaw signal are described. Wavelet neural network is used for signal processing of ultrasonic detection. This method that makes full use of characteristic of self-learning for wavelet neural network reduces wave loss. And convergence speed is improved by modifying error function. It is proved that this method has the good effect and acquires exact location of the flaw and amplitude of the flaw signal. Wavelet neural network is the great significance for signal processing of ultrasonic detection.

关键词： Wavelet neural network Noise Echo signal

作者: Zhou Runjing Zhang fei

作者单位: Department of Automation,College of Sciences of Technology,Inner Mongolia University,Hohhot 010021 China

会议类型: 国际会议

会议名称: 第八届国际电子测量与仪器学术会议(Proceedings of 2007 8th International Conference on Electronic Measurement & Instruments)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-08-16（万方平台首次上网日期，不代表论文的发表时间）